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Yubraj Gupta
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Prediction and classification of Alzheimer’s disease based on combined features from apolipoprotein-E genotype, cerebrospinal fluid, MR, and FDG-PET imaging biomarkers
Y Gupta, RK Lama, GR Kwon, ...
Frontiers in computational neuroscience 13, 72, 2019
772019
Early diagnosis of Alzheimer’s disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images
Y Gupta, KH Lee, KY Choi, JJ Lee, BC Kim, GR Kwon, ...
PLoS One 14 (10), e0222446, 2019
342019
Alzheimer’s disease diagnosis based on cortical and subcortical features
Y Gupta, KH Lee, KY Choi, JJ Lee, BC Kim, GR Kwon
Journal of healthcare engineering 2019, 2019
252019
Classification and graphical analysis of Alzheimer’s disease and its prodromal stage using multimodal features from structural, diffusion, and functional neuroimaging data and …
Y Gupta, JI Kim, BC Kim, GR Kwon
Frontiers in aging neuroscience 12, 238, 2020
132020
An MRI brain disease classification system using PDFB-CT and GLCM with kernel-SVM for medical decision support
Y Gupta, RK Lama, SW Lee, GR Kwon
Multimedia Tools and Applications 79 (43), 32195-32224, 2020
102020
Classification of Alzheimer’s disease and mild cognitive impairment based on cortical and subcortical features from MRI T1 brain images utilizing four different types of datasets
S Toshkhujaev, KH Lee, KY Choi, JJ Lee, GR Kwon, Y Gupta, RK Lama
Journal of Healthcare Engineering 2020, 2020
102020
Alzheimer's Disease Neuroimaging I
Y Gupta, RK Lama, GR Kwon
Prediction and classification of alzheimer's disease based on combined …, 2019
92019
National Research Center for Dementia; Alzheimer’s Disease Neuroimaging Initiative. Early diagnosis of Alzheimer’s disease using combined features from voxel-based morphometry …
Y Gupta, KH Lee, KY Choi, JJ Lee, BC Kim, GR Kwon
PloS one 14 (10), e0222446, 2019
52019
A DICOM Standard Pipeline for Microscope Imaging Modalities
Y Gupta, C Costa, E Pinho, LAB Silva
2021 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2021
22021
Improving the Visualization and Dicomization process for the Stacked Whole Slide Imaging
Y Gupta, C Costa, E Pinho, LAB Silva
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1-8, 2021
12021
Dicomization of LSM fluorescence composite microscopic image with its bioimaging information
Y Gupta, C Costa, E Pinho, LAB Silva, S Mandal, U Neugebauer
2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021
12021
T1-MRI 뇌영상으로부터 히포캠퍼스 특징 기반알츠하이머 병 자동 분류기법
권구락
한국차세대컴퓨팅학회 논문지 15 (2), 17-28, 2019
12019
Yubraj Gupta1, Ji-In Kim1, Byeong Chae Kim2 and Goo-Rak Kwon1* on behalf of Alzheimer’s Disease Neuroimaging Initiative
WM Kung, HU Voss, G Gonzalez-Escamilla, KK Tseng, GR Kwon, ...
Translational Advances in Alzheimer's, Parkinson's, and Other …, 2022
2022
DICOMization of Proprietary Files Obtained from Confocal, Whole-Slide, and FIB-SEM Microscope Scanners
Y Gupta, C Costa, E Pinho, L Bastião Silva
Sensors 22 (6), 2322, 2022
2022
Automatic classification of Alzheimer’s disease using different neuroimaging tools
S Toshkhujaev, GR Kwon, Y Gupta, RK Lama
한국통신학회 학술대회논문집, 58-61, 2019
2019
Early classification of Alzheimer's disease and mild cognitive impairment using pre-trained 3D deep neural network
Y Gupta, GR Kwon
IBRO Reports 6, S154, 2019
2019
SVM 을 이용한 뇌 피질 기반 알츠하이머 병 진단
권구락
한국차세대컴퓨팅학회 논문지 15 (3), 40-49, 2019
2019
Automatic classification on Alzheimer’s Disease based on Hippocampus features from T1-MRI brain image
Y Gupta
한국차세대컴퓨팅학회 논문지 15 (2), 17-28, 2019
2019
Subcortical Features based Alzheimer’s disease diagnosis using Support vector machine
Y Gupta
한국차세대컴퓨팅학회 논문지 15 (3), 40-49, 2019
2019
T1-MRI 뇌영상으로 부터 멀티모달 특징들을 이용한 알츠하이머병 포괄적 분석
권구락, 변재영, 이범식, 권구락
조선대학교 일반대학원, 2019
2019
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